More information: Xinwei Su et al, Machine learning modeling assisted intelligent process analysis for high - performance virus filtration, Journal of Membrane Science (2025).

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

How machine learning might unlock earthquake prediction Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety.

To estimate currents and find divergences, oceanographers have used a machine-learning technique known as a Gaussian process, which can make predictions even when data are sparse.

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg ...

Classification and prediction tasks — like identifying cats in photos or spam in emails — usually rely on supervised machine learning, which means the training data is already sorted in advance: The ...

The past may be a fixed and immutable point, but with the help of machine learning, the future can at times be more easily divined.

The increased rate of data collection relating to athlete load has led to interest in machine learning (ML) approaches for sports data analysis, including injury risk prediction. Prior reviews have ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether ...